New X-Robot cars with Raspberry Pi Introduction (2)
TH-X crawler AI educational robot car---Learn in order to practice，own successful employment
The TH-X robot is a competitive car-shaped robot with a track structure. The car body size is the largest in the X series. Its excellent passability can adapt to various obstacle crossing tasks. At the same time, the car body is reserved for various tasks. Common sensor and mechanical arm installation positions can be used to meet the requirements of handling competitions.The whole car weighs 3kg, the maximum speed can reach 0.6 m/s, and the load capacity is excellent.The product is also equipped with the commonly used Arduino, STM32, Raspberry Pi three maker education hardware platforms, open hardware interface and software API interface, TH-X robot combined with AI machine vision, with QR code recognition, face recognition, voice Recognition and other AI artificial intelligence features.
Features
* Special chassis for competition, super power
* Multifunctional robotic arm
* AI + sensor case
Equipped with three commonly used cores for maker education platform
* Arduino--First choice for beginners
* STM32--Connect to working application
* Raspberry Pi--An excellent learning platform for AI
Fully-equipped teaching function
| 1、WiFi wireless remote control | 11、Real-time mode display function | 21、Object recognition |
| 2、 WiFi wireless video transmission | 12、Headlight function | 22、visual obstacle avoidance |
| 3、 Motor control | 13、Turn signal function | 23、37 kinds of sensor expansion experiment |
| 4、Servo control | 14、 Voltage indication | 24、Robotic arm function |
| 5、Ultrasonic walking the maze | 15、Horn function | 25、Visually identify colors |
| 6、 Ultrasonic ranging backhaul | 16、Built-in music | 26、 Visual recognition line inspection |
| 7、Ultrasonic distance measurement | 17、PS2 handle control function | 27、MP3 module |
| 8、Infrared line inspection function | 18、Bluetooth control | 28、Visual recognition of QR code |
| 9、Infrared anti-drop function | 19、Gesture recognition | 29、visual recognition of human faces |
| 10、Distance voltage display function | 20、object tracking | 30、Cloud voice broadcast |
Parameter
Chassis
Size: 230*210*40mm
Weight: 2.5kg
Material: aluminum alloy stamping and forming
Treatment process: anodic surface oxidation
Way of travel: crawler rear drive
Maximum speed: 0.6 m/s
Camera
Pixel: 5 million hardware pixels
Resolution: 1080P
Output interface: USB2.0
Video format: Mjpeg
Lens wide angle: 130 degrees
Digital Transmission System
Communication mode: WiFi/Bluetooth/PS2
Communication frequency: 2.400-2.4835GHz
Effective distance: 40-80 meters
Control method: APP/PC/PS2 handle
Main control system
Driver board: PWR. Multi-function voltage regulator driver expansion board
Main control platform: Arduino/STM32/Raspberry Pi
Programming language: C/Python
Scalable IO: 12
Regulated output: 5V 1.5A
Power
Battery type: lithium polymer power battery
Output voltage: 12V
Maximum output current: 5A
Battery capacity: 2200maH
Overshoot and over discharge protection: included
Cascade mode: 3 series 18650
Robotic arm
Degrees of freedom: 4
Joint servo: XR-R015
Torque of single servo: 15KG
Clamping accuracy: 3°
Maximum clamping weight: 350g
Material: aluminum alloy
Surface technology: anodic surface oxidation (black)
Advanced teaching curriculum system
 
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| Preface | 5.1 Header file |
| 1.1 Purpose of writing | 5.2 Variables |
| Chapter 2 Know STM32 | 5.3 Array |
| 2.1 Introduction | 5.4 Conditional statement |
| 2.2 STM32 performance advantages | 5.5 Loop statement |
| Chapter 3 Equipment Assembly | 5.6 Functions |
| 3.1 Introduction to X series | 5.7 Summary |
| 3.2 X series hardware interface description | Chapter 6 Lower Computer Source Code Learning |
| 3.3 X series hardware assembly | 6.1 Motor |
| 3.4 Main functions of X series | 6.2 Infrared sensor |
| Chapter 4 Development Environment Construction | 6.3 Ultrasound |
| 4.1 STM32CubeMX | 6.4 Passive buzzer |
| 4.1.1 Download and installation of STM32Cube | 6.5 Communication protocol between X series products and MCU |
| 4.1.2 How to use STM32CubeMX | 6.7 Servo |
| 4.2 Keil5 | 6.8 RGB lights |
| 4.2.1 Download and installation of Keil5 | 6.9 Voltage detection |
| 4.2.2 Cracking of Keil5 | 6.10 PS2 handle |
| 4.2.3 Install MDK5 software package | Chapter 7 Upper Computer System Learning |
| 4.3 Program writing, compiling and burning | 7.1 Analysis of Android control software architecture |
| 4.3.1 Compiling the project | 7.2 Principles of Android Video Decoding |
| 4.3.2 MCUISP and serial port driver installation | 7.3 Android communication principle |
| 4.3.3 Use MCUISP to burn factory program | 7.4 Analysis of PC control software architecture |
| Chapter 5 Basic Usage of C Language | 7.5 Principles of video decoding of PC control software |
Jetbot 2.0 AI educational Robot Car---Machine vision, Artificial intelligence
